OpenAgents Control is a framework that adds plan-first, approval-based coding workflows to OpenCode, an AI coding framework. Developers and teams use it to make agents follow shared coding patterns, work across several programming languages, and validate changes through testing and review. The catalogue includes its agents, skills, commands, plugin, and hook.
Borrowing it
Nothing to install: this file belongs to darrenhinde/OpenAgentsControl. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/darrenhinde/OpenAgentsControl/main/.opencode/skills/context7/SKILL.mdgit clone --depth 1 https://github.com/darrenhinde/OpenAgentsControlWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/darrenhinde/openagentscontrol/context7)<a href="https://agentmods.dev/skills/darrenhinde/openagentscontrol/context7"><img src="https://agentmods.dev/badge/skills/darrenhinde/openagentscontrol/context7/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/darrenhinde/openagentscontrol/context7"><img src="https://agentmods.dev/badge/skills/darrenhinde/openagentscontrol/context7.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00068 | $0.00772 |
| Opus 5.5 | $0.00027 | $0.00309 |
| Sonnet 5.5 | $0.00014 | $0.00154 |
| Haiku 4.5 | $0.00007 | $0.00077 |
Grade A, and why
context7 scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
This skill enables retrieval of current documentation for software libraries and components by querying the Context7 API via curl. Use it instead of relying on potentially outdated training data. How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context7
Overview
This skill enables retrieval of current documentation for software libraries and components by querying the Context7 API via curl. Use it instead of relying on potentially outdated training data.
Workflow
Step 1: Search for the Library
To find the Context7 library ID, query the search endpoint:
curl -s "https://context7.com/api/v2/libs/search?libraryName=LIBRARY_NAME&query=TOPIC" | jq '.results[0]'
Parameters:
libraryName(required): The library name to search for (e.g., "react", "nextjs", "fastapi", "axios")query(required): A description of the topic for relevance ranking
Response fields:
id: Library identifier for the context endpoint (e.g.,/websites/react_dev_reference)title: Human-readable library namedescription: Brief description of the librarytotalSnippets: Number of documentation snippets available
Step 2: Fetch Documentation
To retrieve documentation, use the library ID from step 1:
curl -s "https://context7.com/api/v2/context?libraryId=LIBRARY_ID&query=TOPIC&type=txt"
Parameters:
libraryId(required): The library ID from search resultsquery(required): The specific topic to retrieve documentation fortype(optional): Response format -json(default) ortxt(plain text, more readable)
Examples
React hooks documentation
# Find React library ID
curl -s "https://context7.com/api/v2/libs/search?libraryName=react&query=hooks" | jq '.results[0].id'
# Returns: "/websites/react_dev_reference"
# Fetch useState documentation
curl -s "https://context7.com/api/v2/context?libraryId=/websites/react_dev_reference&query=useState&type=txt"
Next.js routing documentation
# Find Next.js library ID
curl -s "https://context7.com/api/v2/libs/search?libraryName=nextjs&query=routing" | jq '.results[0].id'
# Fetch app router documentation
curl -s "https://context7.com/api/v2/context?libraryId=/vercel/next.js&query=app+router&type=txt"
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 85 lines · 68 tokens per session scan A 03c54428be33
context7 is a skill published in the GitHub repository darrenhinde/OpenAgentsControl (4,910 stars, last pushed 1mo ago), licensed MIT. It adds 68 tokens to every session and 772 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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